Revecore is embarking on re-architecting and modernizing its core platform. The Data Technology at Revecore is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning (ML) Engineering specializations.
The Senior Data Engineer will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate is capable of contributing to platform, architecture, and automation best practices, while also diving deep into specific areas and finding the best path forward. You are expected to pave the path for the data teams around data ingestion, data pipelines and data operations. You will be responsible for building a modern data lakehouse platform that will transform Revecore and its capabilities.
What You'll Do- Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.
- Improve the quality of the engineering practice, and the quality of the domain's output.
- Design and develop scalable, maintainable, and reliable data pipelines.
- Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency.
- Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs.
- Proactively research and understand industry trends on various components of the data platform.
Technical Requirements- Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI.
- Proven ability to design and build scalable ELT pipelines, data lakes, and data warehouse solutions using modern tools such as Snowflake, dbt, and Airflow.
- Deep expertise in Python and SQL is required.
- Strong proficiency in C#, with experience maintaining and enhancing complex, homegrown codebases used for data orchestration, transformation, file movement, and delivery. Familiarity with .NET Framework and .NET Core is essential.
- Ability to bridge legacy systems with modern cloud-native architectures, contributing to platform modernization efforts.
- Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data platforms.
- Solid understanding of the data software development lifecycle (SDLC) and deployment automation workflows.
- Bachelor's or Master's degree in computer science or equivalent experience.
Work at Home Requirements: - A quiet, distraction-free environment to work from in your home.
- A secure internet connection is required.
- Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads.
- The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.
Must reside in the United States within one of the states listed below:
Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virginia
